Staff Data Scientist

Overview We are seeking a Staff Data Scientist who is deeply curious about our product, our customers, and the employee relations data that sits at the heart of what we do. Reporting to the Director of Platform and Data Engineering, you will own the development of an authoritative, end-to-end understanding of our data: what it represents, how it’s structured, where it’s reliable, and what it can tell us about workplace issues at scale. From that foundation, you’ll build the analytical models and customer-facing data products that help organizations understand patterns in their employee relations (ER) programs and benchmark against industry peers. This is a high-impact role where genuine product curiosity isn’t a nice-to-have; it’s the prerequisite for doing the work well. You'll bring rigorous statistical thinking and strong engineering fundamentals to everything from building the models that power our product to presenting benchmark findings directly to customers. About Us At HR Acuity®, we empower our team to #BeBold —embracing innovation and new challenges. With the right tools, we help you #WorkSmarter , fostering collaboration so we can all be #BetterTogether . If you’re excited about being part of our growth story, we’d love to chat! HR Acuity® is the leading provider of employee relations case management and investigation software. We help organizations standardize how workplace issues are reported, documented, and investigated. Our data-driven approach to managing workplace issues helps our clients and partners build trusted, inclusive cultures where employees feel safe. This is an #All-in Zone. We are a fast-growing, innovative company where being #All-in is the norm. From our female founder CEO to every team member, we embrace a fully engaged mindset. We strive for excellence every day, driven by our commitment to our mission and culture—and we welcome individuals who share our values. At the same time, we are deeply committed to fostering an inclusive, diverse workplace where different perspectives are valued and respected. We believe in creating an environment where everyone can show up as their authentic selves and thrive. If this sounds like you, keep reading. Click here to learn more about our values and benefits Please note that for this position, we are only accepting direct applications. Submissions from agencies will not be considered. The Opportunity Data Understanding & Exploration Develop and continuously deepen a comprehensive understanding of HR Acuity's full data landscape, including case types, taxonomies, workflows, and customer segments, grounded in the real-world employee relations problems the data represents Assess what makes HR Acuity's dataset competitively distinctive, identify gaps or additions that would strengthen its analytical value, and proactively surface opportunities that extend beyond the current product roadmap Build rigorous documentation, lineage, and data quality baselines for HR Acuity's ER dataset, establishing the foundation the analytics product needs to grow on Modeling & Analytics Design and build statistical models and machine learning solutions that surface trends, risk signals, and benchmarks from HR Acuity’s employee relations case data, with rigorous attention to bias detection and mitigation given the sensitivity of the underlying data Apply NLP and text analytics techniques to extract structure, patterns, and signals from HR Acuity’s unstructured case data, including case notes, investigation narratives, and incident descriptions; this includes building and improving anonymization pipelines for sensitive unstructured content, with a focus on preserving analytical value while protecting identity Own and elevate HR Acuity’s customer-facing analytics and benchmarking capabilities: deepen their statistical rigor, expand the insights they deliver, and ensure they reflect the full analytical depth of the underlying dataset; this is the current core product, and making it more statistically meaningful and defensible is a primary responsibility of this role Design and execute experiments to measure the impact of product and analytical changes, applying rigorous statistical methods, including power analysis and significance testing, to feature evaluation and continuous improvement Collaboration & Communication Collaborate with Data Engineering to ensure pipelines, schemas, and data models support analytical needs and maintain data quality Partner closely with Product and Engineering to define metrics, evaluate feature performance, and translate analytical findings into product decisions Translate complex analytical findings into clear, compelling narratives for non-technical stakeholders, including customers and internal leadership AI/ML Quality & Governance Apply responsible data practices throughout all work, prioritizing privacy, fairness, and ethical handling of sensitive employee information Define and maintain the statistical evaluation framework for AI and ML features, including golden datasets, quality metrics, and release gates for data quality Contribute to technical approach decisions for AI features, bringing data-driven judgment on when classical ML, statistical models, or rules-based solutions are more appropriate than LLM-based approaches Serve as the statistical and data quality voice on LLM-powered features, evaluating whether AI-generated insights, summaries, and recommendations are statistically sound, appropriately calibrated, and meaningful for customers Review prompt designs and model outputs for accuracy, bias, and statistical validity, partnering with engineers to iterate before and after release Monitor model and data quality over time, identifying and addressing degradation, drift, or unexpected changes in underlying distributions Leadership Establish data science standards, documentation practices, and reproducibility norms that scale as th